How To Use Data to Better Serve Students in After School

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A recent meta-analysis found that students in quality programs showed significant gains in academic performance, school-day attendance and positive behaviors as compared to nonparticipating students and students in lower-quality programs.

The quality of an after school program is key to student outcomes. A recent meta-analysis found that students in quality programs showed significant gains in academic performance, school-day attendance and positive behaviors as compared to nonparticipating students and students in lower-quality programs. An issue brief from the After School Alliance and MetLife Foundation suggests that programs ensure quality by using data to measure goals, assess outcomes, make adjustments and add necessary supports to better serve students, families and staff.

What type of data should be collected?

Data includes everything from survey feedback to attendance records to skill-based test scores. Every program is unique in its services and offerings; therefore, focus on data that is easily accessible, relevant to the program’s goals and useful to the program.

By collecting and evaluating data, programs can better understand their goals and impact while identifying their strengths and areas that need improvement. They can gain the opportunity to develop and strengthen partnerships with schools and school districts. And, they can demonstrate to their community, potential funders and policymakers that they are having a positive effect on students.

Dr. Young shares insight from various training and roles to help program directors and staff establish a positive relationship with school principals and encourage them to be champions of after school.